Super Technologies Pvt Ltd

Super Technologies Pvt Ltd

Super Technologies is leading System integration and Product Distribution organization, engaged in providing cutting edge technology solutions.We offer an unrivalled portfolio of products that caters to research & development establishments, Defence, Aerospace, Motorsports, Industrial applications and Technical Institutions. We offer software solutions which include a wide range of electrical and mechatronic engineering applications to meet most user profiles in our niche. From mechatronics systems to power systems, from electromagnetism to electromechanics, software solutions are dedicated to increasing your productivity and helping you to improve the performance of your devices and systems. Super Technologies is run by a team of capable individuals, who developed multi dimensions from a simple trading company to a reputed authorized dealer for multinational companies. The company offers best-in-class solutions to meet all the motion needs and Aerospace applications. Our agility and focus enables us to rapidly develop innovative solutions to a wide range of aerospace and control problems. Our systems encompasses both terrestrial and space energy production applications. Widely applied for precise and rapid actuation, instrumentation and control of vibrations, mechatronic products based on smart materials meet the stringent specifications for aerospace. We are proud to supply high quality engineered products along with strong commitment to quality customer services to various Industries across India. The firm dramatically increased its market coverage and now serves nearly every industry where there is a need for high speeds, high temperature and performance under demanding operating conditions.

aviation & aerospace
1-10
Founded 2000

Description

  • Design, develop, and deploy advanced machine learning models to solve complex business problems.
  • Stay current with trends and advancements in machine learning and AI technologies.
  • Conduct code reviews and enforce best practices in model development and deployment.
  • Manage and prioritise machine learning projects to align with business goals and objectives.
  • Ensure timely delivery of high-quality machine learning solutions.
  • Coordinate with cross-functional teams to integrate machine learning models into production systems.
  • Lead and mentor a team of 4–5 data scientists and ML engineers.
  • Oversee the execution, development, growth, and performance of the machine learning team.
  • Foster a collaborative and innovative team environment and build strong partnerships with product management and stakeholders.

Requirements

  • Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
  • 4+ years of experience in machine learning and data science roles.
  • 5+ years of experience leading and managing engineering teams, including supporting engineer growth and performance.
  • Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
  • Experience with cloud computing platforms, primarily AWS, and containerisation technologies such as Docker and Kubernetes.
  • Excellent problem-solving skills and the ability to work both independently and collaboratively.
  • Strong communication and interpersonal skills.
  • Experience in the gaming or entertainment industry is preferred.
  • Experience with tools and technologies such as Spark, Snowflake, Qwak, MLflow, and Airflow is preferred.
  • Contributions to open-source AI/ML projects or participation in AI/ML competitions such as Kaggle are preferred.
  • Experience training and fine-tuning large-scale foundation models such as GPT, BERT, or T5 is preferred.
  • Publications in top AI conferences such as AAAI, IJCAI, NeurIPS, ICML, or ICLR are preferred.

Benefits

  • Medical / Health Insurance.
  • Open Annual Leave.
  • Employee Assistance Programme.
  • Training & Learning Development.
  • Additional benefits vary by country and will be shared during the hiring process.

Interested in this position?

Apply directly on the company website

Apply Now

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