Machine Learning Engineer

What makes Techjays an inspiring place to work

At Techjays, we are driving the future of artificial intelligence with a bold mission to empower businesses worldwide by helping them build AI solutions that transform industries. As an established leader in the AI space, we combine deep expertise with a collaborative, agile approach to deliver impactful technology that drives meaningful change.

Our global team consists of professionals who have honed their skills at leading companies such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. With engineering teams across the globe, we deliver tailored AI software and services to clients ranging from startups to large-scale enterprises.

Be part of a company that’s pushing the boundaries of digital transformation. At Techjays, you’ll work on exciting projects that redefine industries, innovate with the latest technologies, and contribute to solutions that make a real-world impact. Join us on our journey to shape the future with AI.

We are Looking for a highly skilled and experienced Machine Learning Engineer with expertise in English language processing and natural language understanding. As a Machine Learning Engineer, you will be responsible for developing and implementing advanced machine learning algorithms and models to solve complex problems in the field of English language processing.

Years of Experience: 5 - 10 years

Location: Remote

Responsibilities:

• Design and develop machine learning models and algorithms specifically focused on English language processing and natural language understanding.
• Apply advanced techniques in deep learning, natural language processing, and machine translation to extract meaningful insights and patterns from large English language datasets.
• Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions using machine learning approaches.
• Conduct thorough research and stay up-to-date with the latest advancements in machine learning techniques and algorithms related to English language processing.
• Perform data preprocessing, feature engineering, and model training to optimize the performance of machine learning models.
• Evaluate and fine-tune the performance of existing machine learning models to improve accuracy, efficiency, and scalability.
• Collaborate with software engineers to integrate machine learning models into production systems and ensure their robustness and scalability.
• Mentor and provide guidance to junior members of the team, sharing your knowledge and expertise in machine learning techniques and best practices.
• Stay current with emerging trends in machine learning and contribute to the development of innovative solutions to address business challenges.
• Document research findings, methodologies, and implementation details in technical reports and present them to both technical and non-technical stakeholders.

Qualifications:

• Master’s degree in CS/Statistics/Data Science, with a specialization in machine learning or equivalent experience
• Strong background in machine learning, deep learning, and natural language processing.
• Extensive experience in developing and implementing machine learning models and algorithms using frameworks such as TensorFlow, PyTorch, or Keras.
• Proficiency in programming languages such as Python and experience with relevant libraries and tools for data manipulation and analysis (e.g., NumPy, pandas).
• Solid understanding of English language processing techniques, including but not limited to sentiment analysis, entity recognition, and part-of-speech tagging.
• Proven track record of successfully delivering machine learning projects and solutions in a professional setting.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and experience deploying machine learning models in production environments.
• Excellent problem-solving and analytical skills, with the ability to work on complex data-driven problems and propose innovative solutions.

What we offer:

• Best in class packages
• Paid holidays and flexible paid time away
• Casual dress code & flexible working environment
• Work in an engaging, fast-paced environment with ample opportunities for professional development.
• Medical Insurance covering self & family up to 4 lakhs per person.
• Diverse and multicultural work environment
• Be part of an innovation-driven culture that provides the support and resources needed to succeed.