In this modern era where lives are highly dependent on tech-savvy gadgets, few technologies like machine learning, artificial intelligence, and data science are gaining lots of traction. Artificial intelligence jobs are becoming more and more popular with every changing day. Digital transformation and the advent of the coronavirus pandemic have unlocked immense opportunities for AI/ML to enhance workflow with appropriate business insights. Several talented tech professionals are aiming for Artificial Intelligence jobs in top tech companies. Are you also looking for the best AI jobs? There are many tech companies in India offering positions like machine learning engineer, artificial intelligence specialist, and more. This article features the top 10 AI jobs in Indian tech companies to apply in March 2022.
Machine Learning Research Engineer
Company: Skit.ai
Location: Bengaluru, Karnataka
Responsibilities:
- Design, build and evaluate Machine Learning systems.
- Perform experiments and statistical analyses to draw conclusions and take modeling decisions.
- The study, implement and extend state-of-the-art systems.
- Take part in regular research reviews and discussions.
- Build, maintain and extend our open source solutions in the domain.
- Write well-crafted programs at all levels of the system. This includes the data pipelines, experiment prototypes, fast and scalable deployment models, and evaluation, visualization, and monitoring systems.
Senior Artificial Intelligence Software Engineer
Company: Thomson Reuters
Location: Bengaluru, Karnataka
- Build and Maintain software that tracks the full lifecycle of ML from ideation to post-deployment monitoring
- Assist in the deployment of machine learning models into production and support these models throughout their lifecycle.
- Build out features that help data scientists iterate and re-train models at speed and ease.
- Build out features that facilitate the data collection and annotation for non-structured data and NLP use cases
- Utilize a variety of software and tools both commercial and open source
- Enable self-service tooling for data science teams to create and maintain models
- Create and deploy tooling for model monitoring and model governance
- Be part of a model ops framework
- Continuously challenge and evolve the existing platform capabilities and keep up to date with new offerings
AI/ML Engineer
Company:
Location:
Responsibilities:
- Business requirements elicitation, analyze, data/workflows, Proof of concept (POC), requirement scoping, prepare design documents and effort estimations
- Research and implement appropriate ML algorithms and tools, Develop and support AI/ML solutions using best-in-class ML models primarily on the OCR, ICR domain
- Run machine learning tests and experiments
- Work with Business Analysts and assist with defining functional user stories
- Ensure deliverables across teams are of high quality and clearly documented
- Standardize and enforce coding standards and best practices, including optimizing the apps for performance
AI/ML Solutions Architect – E-Health
Company: Wadhwani AI
Location: Anywhere
Responsibilities:
- Provide technology assessment of E-HEALTH on Artificial Intelligence proposals and solutions, internal or external, in order to promote relevant and fast adoption of AI and machine learning in the E-HEALTH.
- Understand the technology and data aspects of the existing system. Provide direction to ensure that technology robustness, data quality, and design options to integrate AI technology into existing systems is performed.
- Facilitate in identifying important problems that can be solved by AI (technological feasibility) for E-HEALTH and facilitate E-HEALTH in selecting relevant partners to solve these problems along with other members of AI TSU and Wadhwani AI core team.
- Provide guidance on aspects of problem definition in Artificial Intelligence. Ensure that these provide a holistic approach that integrates the domain solution with technology aspects.
- Understand the platform and infrastructure needs of the E-HEALTH and collaborate with program consultants and other partners on the ideation, evaluation, and design of AI/ML solutions consistent with E-HEALTH platform and infrastructure, as well as other technology needs of the program.
- Educate stakeholders on systematic problem solving using AI and machine learning. Augment material that exists in the institute to reflect best practices in this aspect.
- Advice on security, performance, and deployment aspects of the proposed AI solutions.
- For all of the above, leverage in-house expertise at Wadhwani AI as appropriate. The role is expected to evolve based on the needs and priorities of E-HEALTH.
Machine Learning (AI) Architect
Company: Persistent Systems
Location: Hyderabad, Telangana
Responsibilities:
- Showcase business acumen to translate requirements into ML problems.
- Lead ML teams and build, design, and drive solutions to delivery
- Guide teams in evaluating the quality of ML models and, review and define the right performance metrics for models in accordance with the requirements of the core platform.
- Be responsible for building new and innovative solutions leveraging data science and artificial intelligence skills/technologies to solve non-trivial problems.
- Lead teams of data scientists and ML engineers, review the team’s work, and troubleshoot models implemented.
Data Analyst
Company: Bharatpe
Location: New Delhi
Responsibilities:
- Interpret data, analyze results and create actionable reports and insights
- Building data-driven insights to improve operational effectiveness
- Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts
- Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications
- Locate and define new process improvement opportunities
Deputy Director – Artificial Intelligence – IT
Company: Talent Art Partners
Location: Gurugram, Haryana
Responsibilities:
- Define strategy and roadmap to develop a vibrant AI ecosystem for the industry to adopt.
- Develop programs and initiatives on AI
- Identify opportunities of collaboration across Innovators, Technology players, Professionals, Academia & Government.
- Identify and raise funds from Government partners to support the execution of programs and initiatives.
- Explore alliances with international organizations & bodies to enhance the capabilities of AI in the country.
- Work to bring together leaders to ideate and get their support in delivering programs of importance to the nation.
- Engage with the innovation ecosystem by designing and running high impact acceleration programs for AI start-ups.
- Manage relationships with external agencies, partners, and government as appropriate to enable smooth operations and profitable growth for AI Desk activities.
- Should have experience developing and deploying machine learning systems into production
AI-ML Engineer
Company: Acme Services
Location: Noida, Uttar Pradesh
Responsibilities:
- Lead the development of AI/ML-related applications as it matures into lean, high-performing agile teams.
- Own the vision and execution of developing and integrating AI & machine learning into all aspects of the platform.
- Drive innovation through the use of technology and unique ways of applying it to business problems
- A well-developed portfolio of past software development, composed of some mixture of professional work, personal projects, and open source contributions will be considered a huge plus.
AI/ML Engineer
Company: CoreStack
Location: Chennai, Tamil Nadu
Responsibilities:
- Understanding business objectives and formulating the problem as a Machine Learning problem
- Expert level proficiency in Multivariate Time Series Forecasting or Causal Forecasting
- Develop and maintain robust data processing pipelines and reproducible modelling pipelines
- Explore data and communicate insights clearly to non-technical as well as technical audience
- Analyse experimental results, iterate and refine models to create significant business impact
- In-depth understanding of classical statistical forecasting algorithms like ARIMA, ETS, etc. as well as new age algorithms like Prophet.
- Proven experience is handling Time Series Forecasting using standard Regression algorithms like Linear Regression, Gradient Boosted Decision Trees, Random forest, etc.
- Good practical knowledge with Sequence Models in Deep Learning, like LSTMs, Transformers, etc. especially in the context of Time Series Forecasting.
- Proficiency with at least one Deep Learning Framework such as PyTorch, TensorFlow, etc.
Advisor, AI/ML Architect
Company: Fiserv India Private Limited
Location: Noida, Uttar Pradesh
Responsibilities:
- Research and develop machine learning models, security, and deployment strategy.
- Suggest, collect and synthesize requirements and create effective features.
- Apply research methodologies to identify the machine learning models for the problems at hand.
- Provide Architectural and Tech leadership in the ML team.
- Leading technical development within Artificial Intelligence/Machine learning. This will include research, design, implementation, action, and maintaining digital solutions for the financial domain.
Source: analyticsinsight.net
