Machine Learning – Practice Head
Experience: 5 years & above
Salary Range: Upto 20 LPA
Hey, champ! Are you ready to experiment, learn and implement? Then, this is your place to be. Join us on a new adventure where your expertise in the areas of Predictive Analytics, Computer Vision, and Natural Language Processing (NLP) can change the dynamics of our org and let’s revolutionise the paradigm. We are waiting for you because we stand for selection, not rejection.
We are your destination
OptiSol is your answer to a stress-free, balanced lifestyle. We are your home away from home, where career is nurtured at both ends. Being certified as GREAT PLACE TO WORK for 4 consecutive years, we are known for our culture & we believe in open communication and accessible leadership. We celebrate diversity, promote work-life balance with flexible policies, where you can thrive personally and professionally.
We are the face of the future of AI and innovation. Let’s live and learn together.
What we like to see in you
- Core Competencies: Machine Learning | Predictive Analytics | CV or NLP | Python | Cloud (AWS or Azure or GCP) | Model Development | Team Handling | Project Handling | Client Interactions
- Solid experience in machine learning and predictive analytics, especially for real-world use cases.
- Skilled in Python, building and deploying models, with a focus on computer vision (CV) or NLP.
- Comfortable working with cloud platforms like AWS, Azure, or GCP to deploy and manage AI models.
- Experienced in leading teams, managing projects, and interacting with clients to deliver results.
What do we expect
- Good with machine learning frameworks like TensorFlow, PyTorch, Scikit-learn, and Keras.
- Got hands-on experience with Predictive Analytics, Computer Vision, or NLP.
- Understand the basics of data science, statistical analysis, and setting up experiments.
- Comfortable coding in Python, R, or Scala to build models and mess around with data.
- Familiar with cloud platforms (AWS, Azure, GCP) and tools like Apache Spark for big ML projects.
- Have led teams, set the course, and helped everyone perform at their best.
- Can talk to clients, understand what they need, and make sure everything gets done on time.
- Love collaborating with different teams and keeping things running smoothly from start to finish.
What You'll Bring to the Table
- Lead a team of machine learning engineers, data scientists, and researchers, guiding them through designing, developing, and deploying machine learning solutions.
- Set up the best practices for machine learning, from building and testing models to making sure they’re ready to go live.
- Work closely with clients to understand their needs and help define project goals, timelines, and resources.
- Stay on top of the latest in machine learning and AI to keep the team innovative and ahead of the curve.
- Manage the entire machine learning project lifecycle, from gathering data to getting models up and running in production.
- Make sure the models and systems scale well, perform reliably, and run smoothly, always optimizing for speed and accuracy.
- Lead code reviews, improve the quality of models, and fine-tune algorithms and systems for better performance.
- Promote a collaborative team culture, always encouraging learning, sharing knowledge, and growing professionally.
Core benefits you’ll gain
- Get the chance to collaborate with clients on exciting projects, shaping solutions that directly impact their business.
- Build expertise in a range of machine learning techniques and tools, expanding technical knowledge.
- Work in a collaborative, team-focused environment where learning and development are prioritized.
- Gain experience in end-to-end machine learning lifecycle management, enhancing project management and technical leadership skills.
- Other Level based benefits
Apply and take your seat with us as an OptiSolite!
Explore and find out why we are made for each other: Life at OptiSol
Read and discover: Life at OptiSol – Medium
Learn more about our culture. OptiSol’s Insta Page
Is this your playground? Then, please fill the form to start the application process and we’ll reach out to you soon.