15+ TensorFlow Jobs in Hyderabad | TensorFlow Job openings in Hyderabad

Loyalty Juggernaut Inc. (LJI) is a Silicon Valley-based product company, founded by industry veterans with decades of expertise in CRM, Loyalty, and Mobile AdTech. With a global footprint spanning the USA, Europe, UAE, India, and Latin America, we are trusted partners for customer centric enterprises across diverse industries including Airlines, Airport, Retail, Hospitality, Banking, F&B, Telecom, Insurance and Ecosystem.

As pioneers in next-generation loyalty and customer engagement solutions, we are not just transforming loyalty—we are redefining it. With a passion for innovation and a commitment to excellence, LJI is reshaping the loyalty landscape, enabling enterprises to create meaningful, long-lasting relationships with their customers. We are THE JUGGERNAUTS, driving innovation and impact in the loyalty ecosystem.

At the core of our innovation is GRAVTY®, a revolutionary Digital Transformation SaaS Product that empowers multinational enterprises to build deeper customer connections. Designed for scalability and personalization, GRAVTY® delivers cutting-edge loyalty solutions that transform customer engagement across diverse markets.

Our Impact:

• 400+ million members connected through our platform.
• Trusted by 100+ global brands/partners, driving loyalty and brand devotion worldwide.

Proud to be a Three-Time Champion for Best Technology Innovation in Loyalty!!

Explore more about us at www.lji.io.

We are seeking a highly skilled Machine Learning Engineer to join our dynamic team. The ideal candidate will have a proven track record of developing and deploying machine learning models in production that drive significant business impact. With a passion for data science and a competitive edge demonstrated through Kaggle rankings, you will play a crucial role in advancing our Machine Learning initiatives.

What you will OWN:

• Design, develop, and deploy machine learning models to enhance customer loyalty and engagement.
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
• Conduct data exploration and feature engineering to improve model performance.
• Stay abreast of the latest machine learning techniques and technologies, applying them to solve challenging problems.
• Evaluate and monitor model performance, making iterative improvements to achieve business objectives.

You would make a GREAT FIT if you have :

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• Minimum of 5 years of experience in building and deploying machine learning models.
• Strong proficiency in programming languages such as Python or R.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas).
• Knowledge on cloud computing services (e.g., AWS, Google Cloud, Azure) and their machine learning offerings.
• Proven track record on Kaggle(or similar) with a high ranking, demonstrating expertise in data science competitions.
• Experience with deep learning/Neural networks (nice to have).
• Ability to work in a fast-paced, agile development environment.
• Passion for innovation and a desire to stay at the cutting edge of machine learning and data science.
• Experience with building and deploying ML models in production.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills.
• Knowledge of reinforcement learning and recommendation systems – Nice to have.

Why should you consider us?

• Opportunity to Innovate with and Learn from a World-class technology team
• Dabble into the future of technology - Enterprise Cloud Computing, Blockchain, Machine Learning and AI, Mobile, Digital Wallets, and much more...
• Grow with a fast growing company with global presence and recognition.

Job Description:

As a Machine Learning Engineer, you will:

• Operationalize AI models for production, ensuring they are scalable, robust, and efficient.
• Work closely with data scientists to optimize machine learning model performance.
• Utilize Docker and Kubernetes for the deployment and management of AI models in a production environment.
• Collaborate with cross-functional teams to integrate AI models into products and services.

Responsibilities:

• Develop and deploy scalable machine learning models into production environments.
• Optimize models for performance and scalability.
• Implement continuous integration and deployment (CI/CD) pipelines for machine learning projects.
• Monitor and maintain model performance in production.

Key Performance Indicators (KPI) For Role:

• Success in deploying scalable and efficient AI models into production.
• Improvement in model performance and scalability post-deployment.
• Efficiency in model deployment and maintenance processes.
• Positive feedback from team members and stakeholders on AI model integration and performance.
• Adherence to best practices in machine learning engineering and deployment.

Prior Experience Required:

• 2-4 years of experience in machine learning or data science, with a focus on deploying machine learning models into production.
• Proficient in Python and familiar with data science libraries and frameworks (e.g., TensorFlow, PyTorch).
• Experience with Docker and Kubernetes for containerization and orchestration of machine learning models.
• Demonstrated ability to optimize machine learning models for performance and scalability.
• Familiarity with machine learning lifecycle management tools and practices.
• Experience in developing and maintaining scalable and robust AI systems.
• Knowledge of best practices in AI model testing, versioning, and deployment.
• Strong understanding of data preprocessing, feature engineering, and model evaluation metrics.

Employer:

RaptorX.ai

Location:

Hyderabad

Collaboration:

The role requires collaboration with data engineers, software developers, and product managers to ensure the seamless integration of AI models into products and services.

Salary:

Competitive, based on experience.

Education:

• Bachelor's degree in Computer Science, Information Technology, or a related field.

Language Skills:

• Strong command of Business English, both verbal and written, is required.

Other Skills Required:

• Strong analytical and problem-solving skills.
• Proficiency in code versioning tools, such as Git.
• Ability to work in a fast-paced and evolving environment.
• Excellent teamwork and communication skills.
• Familiarity with agile development methodologies.
• Understanding of cloud computing services (AWS, Azure, GCP) and their use in deploying machine learning models is a plus.

Other Requirements:

• Proven track record of successfully deploying machine learning models into production.
• Ability to manage multiple projects simultaneously and meet deadlines.
• A portfolio showcasing successful AI/ML projects.

Founders and Leadership

RaptorX is led by seasoned founders with deep expertise in security, AI, and enterprise solutions. Our leadership team has held senior positions at global tech giants like Microsoft, Palo Alto Networks, Akamai, and Zscaler, solving critical problems at scale.

We bring not just technical excellence, but also a relentless passion for innovation and impact.

The Market Opportunity

Fraud costs the global economy trillions of dollars annually, and traditional fraud detection methods simply can't keep up. The demand for intelligent, adaptive solutions like RaptorX is massive and growing exponentially across industries like:

• Fintech and Banking
• E-commerce
• Payments

This is your chance to work on a product that addresses a multi-billion-dollar market with huge growth potential.

The Tech Space at RaptorX

We are solving large-scale, real-world problems using modern technologies, offering specialized growth paths for every tech role.

Why You Should Join Us

1. Opportunity to Grow: As an early-stage startup, every contribution you make will have a direct impact on the company’s growth and success. You’ll wear multiple hats, learn fast, and grow exponentially.
2. Innovate Every Day: Solve complex, unsolved problems using the latest in AI, Graph Databases, and advanced analytics.
3. Collaborate with the Best: Work alongside some of the brightest minds in the industry. Learn from leaders who have built and scaled successful products globally.
4. Make an Impact: Help businesses reduce losses, secure customers, and prevent fraud globally. Your work will create a tangible difference.

What We’re Looking For

Proven experience as a Machine Learning Engineer, Data Scientist, or similar role

Expertise in applying machine learning algorithms, deep learning, and data mining techniques in an enterprise environment

Strong proficiency in Python (or other languages) and familiarity with libraries such as Scikit-learn, TensorFlow, PyTorch, or similar.

Experience working with natural language processing (NLP) or computer vision is highly desirable.

Understanding and experience with (MLOps), including model development, deployment, monitoring, and maintenance.

Experience with cloud platforms (like AWS, Google Cloud, or Azure) and knowledge of deploying machine learning models at scale.

Familiarity with data architecture, data engineering, and data pipeline tools.

Familiarity with containerization technologies such as Docker, and orchestration systems like Kubernetes.

Knowledge of the insurance sector is beneficial but not required.

Bachelor's/Master's degree in Computer Science, Data Science, Mathematics, or a related field.

What You’ll Be Doing

Algorithm Development:

Design and implement advanced machine learning algorithms tailored for our datasets.

Model Creation:

Build, train, and refine machine learning models for business integration.

Collaboration:

Partner with product managers, developers, and data scientists to align machine learning solutions with business goals.

Industry Innovation:

Stay updated with Insurtech trends and ensure our solutions remain at the forefront.

Validation:

Test algorithms for accuracy and efficiency, collaborating with the QA team.

Documentation:

Maintain clear records of algorithms and models for team reference.

Professional Growth:

Engage in continuous learning and mentor junior team members.

Role Overview:

Generative AI Engineer specializes in designing, developing, and managing AI systems capable of autonomously generating content such as text, images, and music. These engineers leverage deep learning and machine learning techniques to train AI models on large datasets, enabling the creation of new, original content that mimics human-like creativity.

Key Responsibilities:

1. Design and Develop AI Models: Create and optimize generative models such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs)
2. Natural Language Processing (NLP): Work extensively with NLP to create and refine models that understand and generate human language
3. Data Management: Manage and integrate large datasets to train generative AI models, including data pre-processing and augmentation
4. Prototype New Applications: Lead the ideation and prototyping of new AI applications and systems.
5. System Architecture: Design and implement the architecture for AI systems to ensure scalability and efficiency. Key Skills:
6. Programming: Advanced knowledge of programming languages such as Python, and proficiency with AI-centric libraries like TensorFlow, PyTorch, and Keras.
7. Generative Models: Expertise in developing and optimizing GANs, VAEs, and other generative models.
8. NLP Techniques: Familiarity with text parsing, sentiment analysis, and transformer models like GPT.
9. Data Handling: Strong skills in data pre-processing, augmentation, and synthetic data generation.
10. Problem-Solving: Ability to tackle complex, creative challenges using AI.

Preferred Qualifications:

• Education: Bachelor’s or master’s degree in computer science, AI, Machine Learning, or a related field.
• Experience: Proven experience in developing and deploying generative AI models.
• Soft Skills: Creativity, strong analytical skills, and the ability to work collaboratively in a team environment. 

JioTesseract, a digital arm of Reliance Industries, is India's leading and largest AR/VR organization with the mission to democratize mixed reality for India and the world. We make products at the cross of hardware, software, content and services with focus on making India the leader in spatial computing. We specialize in creating solutions in AR, VR and AI, with some of our notable products such as JioGlass, JioDive, 360 Streaming, Metaverse, AR/VR headsets for consumers and enterprise space.

Mon-fri role, In office, with excellent perks and benefits!

Position Overview

We are seeking a Software Architect to lead the design and development of high-performance robotics and AI software stacks utilizing NVIDIA technologies. This role will focus on defining scalable, modular, and efficient architectures for robot perception, planning, simulation, and embedded AI applications. You will collaborate with cross-functional teams to build next-generation autonomous systems 9

Key Responsibilities:

1. System Architecture & Design

● Define scalable software architectures for robotics perception, navigation, and AI-driven decision-making.

● Design modular and reusable frameworks that leverage NVIDIA’s Jetson, Isaac ROS, Omniverse, and CUDA ecosystems.

● Establish best practices for real-time computing, GPU acceleration, and edge AI inference.

2. Perception & AI Integration

● Architect sensor fusion pipelines using LIDAR, cameras, IMUs, and radar with DeepStream, TensorRT, and ROS2.

● Optimize computer vision, SLAM, and deep learning models for edge deployment on Jetson Orin and Xavier.

● Ensure efficient GPU-accelerated AI inference for real-time robotics applications.

3. Embedded & Real-Time Systems

● Design high-performance embedded software stacks for real-time robotic control and autonomy.

● Utilize NVIDIA CUDA, cuDNN, and TensorRT to accelerate AI model execution on Jetson platforms.

● Develop robust middleware frameworks to support real-time robotics applications in ROS2 and Isaac SDK.

4. Robotics Simulation & Digital Twins

● Define architectures for robotic simulation environments using NVIDIA Isaac Sim & Omniverse.

● Leverage synthetic data generation (Omniverse Replicator) for training AI models.

● Optimize sim-to-real transfer learning for AI-driven robotic behaviors.

5. Navigation & Motion Planning

● Architect GPU-accelerated motion planning and SLAM pipelines for autonomous robots.

● Optimize path planning, localization, and multi-agent coordination using Isaac ROS Navigation.

● Implement reinforcement learning-based policies using Isaac Gym.

6. Performance Optimization & Scalability

● Ensure low-latency AI inference and real-time execution of robotics applications.

● Optimize CUDA kernels and parallel processing pipelines for NVIDIA hardware.

● Develop benchmarking and profiling tools to measure software performance on edge AI devices.

Required Qualifications:

● Master’s or Ph.D. in Computer Science, Robotics, AI, or Embedded Systems.

● Extensive experience (7+ years) in software development, with at least 3-5 years focused on architecture and system design, especially for robotics or embedded systems.

● Expertise in CUDA, TensorRT, DeepStream, PyTorch, TensorFlow, and ROS2.

● Experience in NVIDIA Jetson platforms, Isaac SDK, and GPU-accelerated AI.

● Proficiency in programming languages such as C++, Python, or similar, with deep understanding of low-level and high-level design principles.

● Strong background in robotic perception, planning, and real-time control.

● Experience with cloud-edge AI deployment and scalable architectures.

Preferred Qualifications

● Hands-on experience with NVIDIA DRIVE, NVIDIA Omniverse, and Isaac Gym

● Knowledge of robot kinematics, control systems, and reinforcement learning

● Expertise in distributed computing, containerization (Docker), and cloud robotics

● Familiarity with automotive, industrial automation, or warehouse robotics

● Experience designing architectures for autonomous systems or multi-robot systems.

● Familiarity with cloud-based solutions, edge computing, or distributed computing for robotics

● Experience with microservices or service-oriented architecture (SOA)

● Knowledge of machine learning and AI integration within robotic systems

● Knowledge of testing on edge devices with HIL and simulations (Isaac Sim, Gazebo, V-REP etc.)

JioTesseract, a digital arm of Reliance Industries, is India's leading and largest AR/VR organization with the mission to democratize mixed reality for India and the world. We make products at the cross of hardware, software, content and services with focus on making India the leader in spatial computing. We specialize in creating solutions in AR, VR and AI, with some of our notable products such as JioGlass, JioDive, 360 Streaming, Metaverse, AR/VR headsets for consumers and enterprise space.

Mon-Fri, In office role with excellent perks and benefits!

Key Responsibilities:

1. Design, develop, and maintain backend services and APIs using Node.js or Python, or Java.

2. Build and implement scalable and robust microservices and integrate API gateways.

3. Develop and optimize NoSQL database structures and queries (e.g., MongoDB, DynamoDB).

4. Implement real-time data pipelines using Kafka.

5. Collaborate with front-end developers to ensure seamless integration of backend services.

6. Write clean, reusable, and efficient code following best practices, including design patterns.

7. Troubleshoot, debug, and enhance existing systems for improved performance.

Mandatory Skills:

1. Proficiency in at least one backend technology: Node.js or Python, or Java.

2. Strong experience in:

i. Microservices architecture,

ii. API gateways,

iii. NoSQL databases (e.g., MongoDB, DynamoDB),

iv. Kafka

v. Data structures (e.g., arrays, linked lists, trees).

3. Frameworks:

i. If Java : Spring framework for backend development.

ii. If Python: FastAPI/Django frameworks for AI applications.

iii. If Node: Express.js for Node.js development.

Good to Have Skills:

1. Experience with Kubernetes for container orchestration.

2. Familiarity with in-memory databases like Redis or Memcached.

3. Frontend skills: Basic knowledge of HTML, CSS, JavaScript, or frameworks like React.js.

We are seeking a Senior Data Scientist with hands-on experience in Generative AI (GenAI) and Large Language Models (LLM). The ideal candidate will have expertise in building, fine-tuning, and deploying LLMs, as well as managing the lifecycle of AI models through LLMOps practices. You will play a key role in driving AI innovation, developing advanced algorithms, and optimizing model performance for various business applications.

Key Responsibilities:

• Develop, fine-tune, and deploy Large Language Models (LLM) for various business use cases.
• Implement and manage the operationalization of LLMs using LLMOps best practices.
• Collaborate with cross-functional teams to integrate AI models into production environments.
• Optimize and troubleshoot model performance to ensure high accuracy and scalability.
• Stay updated with the latest advancements in Generative AI and LLM technologies.

Required Skills and Qualifications:

• Strong hands-on experience with Generative AI, LLMs, and NLP techniques.
• Proven expertise in LLMOps, including model deployment, monitoring, and maintenance.
• Proficiency in programming languages like Python and frameworks such as TensorFlow, PyTorch, or Hugging Face.
• Solid understanding of AI/ML algorithms and model optimization.

Location: Hyderabad, Hybrid

We seek an experienced Lead Data Scientist to support our growing team of talented engineers in the Insurtech space. As a proven leader, you will guide, mentor, and drive the team to build, deploy, and scale machine learning models that deliver impactful business solutions. This role is crucial for ensuring the team provides real-world, scalable results. In this position, you will play a key role, not only by developing models but also by leading cross-functional teams, structuring and understanding data, and providing actionable insights to the business.

What We’re Looking For

● Proven experience as a Lead Machine Learning Engineer, Data Scientist, or a similar role, with extensive leadership experience managing and mentoring engineering teams.

● Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field.

● Demonstrated success in leading teams that have designed, deployed, and scaled machine learning models in production environments, delivering tangible business results.

● Expertise in machine learning algorithms, deep learning, and data mining techniques, ideally in an enterprise setting.

● Hands-on experience with natural language processing (NLP) and data extraction tools.

● Proficiency in Python (or other programming languages), and with libraries such as Scikit-learn, TensorFlow, PyTorch, etc.

● Strong experience with MLOps processes, including model development, deployment, and monitoring at scale.

● Strong leadership and analytical skills, capable of structuring and interpreting data to provide meaningful business insights and guide decisions.

● A practical understanding of aligning machine learning initiatives with business objectives.

● Industry experience in insurance is a plus but not required.

What You’ll Be Doing

● Lead and mentor a team of strong Machine Learning Engineers, synthesizing their skills and ideas into scalable, impactful solutions.

● Have a proven track record in successfully leading teams in the development, deployment, and scaling of machine learning models to solve real-world business problems.

● Provide leadership in structuring, analyzing, and interpreting data, delivering insights to the business side to support informed decision-making.

● Oversee the full lifecycle of machine learning models – from development and training to deployment and monitoring in production environments.

● Collaborate closely with cross-functional teams to align AI efforts with business goals

and ensure measurable impacts.

● Leverage deep expertise in machine learning, data science, or related fields to enhance document interpretation tasks such as text extraction, classification, and semantic analysis.

● Utilize natural language processing (NLP) to improve our AI-based Intelligent Document Processing platform.

● Implement MLOps best practices, ensuring smooth deployment, monitoring, and maintenance of models in production.

● Continuously explore and experiment with new technologies and techniques to push the boundaries of AI solutions within the organization.

● Lead by example, fostering a culture of innovation and collaboration within the team while effectively communicating technical insights to both technical and non-technical stakeholders.

Candidates not located in Hyderabad will not be taken into consideration.

From building entire infrastructures or platforms to solving complex IT challenges, Cambridge Technology helps businesses accelerate their digital transformation and become AI-first businesses. With over 20 years of expertise as a technology services company, we enable our customers to stay ahead of the curve by helping them figure out the perfect approach, solutions, and ecosystem for their business. Our experts help customers leverage the right AI, big data, cloud solutions, and intelligent platforms that will help them become and stay relevant in a rapidly changing world.

No Of Positions: 1

Skills required: 

• The ideal candidate will have a bachelor’s degree in data science, statistics, or a related discipline with 4-6 years of experience, or a master’s degree with 4-6 years of experience. A strong candidate will also possess many of the following characteristics:
• Strong problem-solving skills with an emphasis on achieving proof-of-concept
• Knowledge of statistical techniques and concepts (regression, statistical tests, etc.)
• Knowledge of machine learning and deep learning fundamentals
• Experience with Python implementations to build ML and deep learning algorithms (e.g., pandas, numpy, sci-kit-learn, Stats Models, Keras, PyTorch, etc.)
• Experience writing and debugging code in an IDE
• Experience using managed web services (e.g., AWS, GCP, etc.)
• Strong analytical and communication skills
• Curiosity, flexibility, creativity, and a strong tolerance for ambiguity
• Ability to learn new tools from documentation and internet resources.

Roles and responsibilities :

• You will work on a small, core team alongside other engineers and business leaders throughout Cambridge with the following responsibilities:
• Collaborate with client-facing teams to design and build operational AI solutions for client engagements.
• Identify relevant data sources for data wrangling and EDA
• Identify model architectures to use for client business needs.
• Build full-stack data science solutions up to MVP that can be deployed into existing client business processes or scaled up based on clear documentation.
• Present findings to teammates and key stakeholders in a clear and repeatable manner.

Experience :

2 - 14 Yrs

At Livello we building machine-learning-based demand forecasting tools as well as computer-vision-based multi-camera product recognition solutions that detects people and products to track the inserted/removed items on shelves based on the hand movement of users. We are building models to determine real-time inventory levels, user behaviour as well as predicting how much of each product needs to be reordered so that the right products are delivered to the right locations at the right time, to fulfil customer demand.

Responsibilities

• Lead the CV and DS Team
• Work in the area of Computer Vision and Machine Learning, with focus on product (primarily food) and people recognition (position, movement, age, gender, DSGVO compliant).
• Your work will include formulation and development of a Machine Learning models to solve the underlying problem.
• You help build our smart supply chain system, keep up to date with the latest algorithmic improvements in forecasting and predictive areas, challenge the status quo
• Statistical data modelling and machine learning research.
• Conceptualize, implement and evaluate algorithmic solutions for supply forecasting, inventory optimization, predicting sales, and automating business processes
• Conduct applied research to model complex dependencies, statistical inference and predictive modelling
• Technological conception, design and implementation of new features
• Quality assurance of the software through planning, creation and execution of tests
• Work with a cross-functional team to define, build, test, and deploy applications

Requirements:

• Master/PHD in Mathematics, Statistics, Engineering, Econometrics, Computer Science or any related fields.
• 3-4 years of experience with computer vision and data science.
• Relevant Data Science experience, deep technical background in applied data science (machine learning algorithms, statistical analysis, predictive modelling, forecasting, Bayesian methods, optimization techniques).
• Experience building production-quality and well-engineered Computer Vision and Data Science products.
• Experience in image processing, algorithms and neural networks.
• Knowledge of the tools, libraries and cloud services for Data Science. Ideally Google Cloud Platform
• Solid Python engineering skills and experience with Python, Tensorflow, Docker
• Cooperative and independent work, analytical mindset, and willingness to take responsibility
• Fluency in English, both written and spoken.

JOB TITLE - Product Development Engineer - Machine Learning
● Work Location: Hyderabad
● Full-time
 

Company Description

Phenom People is the leader in Talent Experience Marketing (TXM for short). We’re an early-stage startup on a mission to fundamentally transform how companies acquire talent. As a category creator, our goals are two-fold: to educate talent acquisition and HR leaders on the benefits of TXM and to help solve their recruiting pain points.
 

Job Responsibilities:

• Design and implement machine learning, information extraction, probabilistic matching algorithms and models
• Research and develop innovative, scalable and dynamic solutions to hard problems
• Work closely with Machine Learning Scientists (PhDs), ML engineers, data scientists and data engineers to address challenges head-on.
• Use the latest advances in NLP, data science and machine learning to enhance our products and create new experiences
• Scale machine learning algorithm that powers our platform to support our growing customer base and increasing data volume
• Be a valued contributor in shaping the future of our products and services
• You will be part of our Data Science & Algorithms team and collaborate with product management and other team members
• Be part of a fast pace, fun-focused, agile team

Job Requirement:

• 4+ years of industry experience
• Ph.D./MS/B.Tech in computer science, information systems, or similar technical field
• Strong mathematics, statistics, and data analytics
• Solid coding and engineering skills preferably in Machine Learning (not mandatory)
• Proficient in Java, Python, and Scala
• Industry experience building and productionizing end-to-end systems
• Knowledge of Information Extraction, NLP algorithms coupled with Deep Learning
• Experience with data processing and storage frameworks like Hadoop, Spark, Kafka etc.

Position Summary
We’re looking for a Machine Learning Engineer to join our team of Phenom. We are expecting the below points to full fill this role.

• Capable of building accurate machine learning models is the main goal of a machine learning engineer
• Linear Algebra, Applied Statistics and Probability
• Building Data Models
• Strong knowledge of NLP
• Good understanding of multithreaded and object-oriented software development
• Mathematics, Mathematics and Mathematics
• Collaborate with Data Engineers to prepare data models required for machine learning models
• Collaborate with other product team members to apply state-of-the-art Ai methods that include dialogue systems, natural language processing, information retrieval and recommendation systems
• Build large-scale software systems and numerical computation topics
• Use predictive analytics and data mining to solve complex problems and drive business decisions
• Should be able to design the accurate ML end-to-end architecture including the data flows, algorithm scalability, and applicability
• Tackle situations where problem is unknown and the Solution is unknown
• Solve analytical problems, and effectively communicate methodologies and results to the customers
• Adept at translating business needs into technical requirements and translating data into actionable insights
• Work closely with internal stakeholders such as business teams, product managers, engineering teams, and customer success teams.

Benefits

• Competitive salary for a startup
• Gain experience rapidly
• Work directly with the executive team
• Fast-paced work environment

About Phenom People

At PhenomPeople, we believe candidates (Job seekers) are consumers. That’s why we’re bringing e-commerce experience to the job search, with a view to convert candidates into applicants. The Intelligent Career Site™ platform delivers the most relevant and personalized job search yet, with a career site optimized for mobile and desktop interfaces designed to integrate with any ATS, tailored content selection like Glassdoor reviews, YouTube videos and LinkedIn connections based on candidate search habits and an integrated real-time recruiting analytics dashboard.

 Use Company career sites to reach candidates and encourage them to convert. The Intelligent Career Site™ offers a single platform to serve candidates a modern e-commerce experience from anywhere on the globe and on any device.

 We track every visitor that comes to the Company career site. Through fingerprinting technology, candidates are tracked from the first visit and served jobs and content based on their location, click-stream, behavior on site, browser and device to give each visitor the most relevant experience.

 Like consumers, candidates research companies and read reviews before they apply for a job. Through our understanding of the candidate journey, we are able to personalize their experience and deliver relevant content from sources such as corporate career sites, Glassdoor, YouTube and LinkedIn.

 We give you clear visibility into the Company's candidate pipeline. By tracking up to 450 data points, we build profiles for every career site visitor based on their site visit behavior, social footprint and any other relevant data available on the open web.

 Gain a better understanding of Company’s recruiting spending and where candidates convert or drop off from Company’s career site. The real-time analytics dashboard offers companies actionable insights on optimizing source spending and the candidate experience.

Kindly explore about the company phenom (https://www.phenom.com/">https://www.phenom.com/)
Youtube - https://www.youtube.com/c/PhenomPeople">https://www.youtube.com/c/PhenomPeople
LinkedIn - https://www.linkedin.com/company/phenompeople/">https://www.linkedin.com/company/phenompeople/

https://www.phenom.com/">Phenom | Talent Experience Management

Software Architect

Symbl is hiring a Software Architect who is passionate about leading cross-functional R&D teams. This role will serve as the Architect across the global organization driving product architecture, reducing information silos across the org to improve decision making, and coordinating with other engineering teams to ensure seamless integration with other Symbl services.

*Symbl is seeking for a leader with a demonstrated track record of leading cross-functional dev team, you are fit for the role if *

• You have a track record of designing and building large-scale, cloud-based, highly available software platforms.
• You have 8+ years of experience in software development with 2+ years in an architect role.
• You have experience working on customer-facing machine learning implementations (predictions, recommendations, anomaly detection)
• You are an API first developer who understands the power of platforms.
• You are passionate about enabling other developers through your leadership and driving teams to efficient decisions.
• You have the ability to balance long-term objectives with urgent short-term needs
• You can successfully lead teams through very challenging engineering problems.
• You are domain Expertise in one or more of: Data pipelines and workflow, telephony systems, real time audio and video streaming machine learning.
• You have bachelor's degree in a computer science-related field is a minimum requirement
• You’ll bring your deep experience with distributed systems and platform engineering principles to the table.
• You are passionate about operational excellence and know-how to build software that delivers it.
• You are able to think at scale, define, and meet stringent availability and performance SLAs while ensuring quality and resiliency challenges across our diverse product and tech stacks are addressed with NodeJs as mandatory, Java, Python, Javascript, ReactJS with intersection with ML platform + open source DBs.
• You understand end-user use cases and are driven to design optimal software that meets business needs.

Your day would look like:

• Work with your team providing engineering leadership and ensuring your resources are solving the most critical engineering problems while ensuring your products are scalable, performant, and highly available.
• Focused on delivering the highest quality of services, and you support your team as they push production code that impacts hundreds of Symbl customers.
• Spent time with engineering managers and developers to create and deliver critical new products and/or features that empower them to introduce change with quality and speed.
• Made sure to connect with your team, both local and remote, to ensure they are delivering on engineering and operational excellence.
•  

*Job Location : Anywhere  –  Currently WFH due to COVID

Compensation, Perks, and Differentiators:

• Healthcare
• Unlimited PTO
• Paid sick days
• Paid holidays
• Flexi working
• Continuing education
• Equity and performance-based pay options
• Rewards & Recognition
• As our company evolves, so do our benefits. We’re actively innovating how we support our employees.

Be a part of the growth story of a rapidly growing organization in AI. We are seeking a passionate Machine Learning (ML) Engineer, with a strong background in developing and deploying state-of-the-art models on Cloud. You will participate in the complete cycle of building machine learning models from conceptualization of ideas, data preparation, feature selection, training, evaluation, and productionization.

On a typical day, you might build data pipelines, develop a new machine learning algorithm, train a new model or deploy the trained model on the cloud. You will have a high degree of autonomy, ownership, and influence over your work, machine learning organizations' evolution, and the direction of the company.

• Bachelor's degree in computer science/electrical engineering or equivalent practical experience
• 7+ years of Industry experience in Data Science, ML/AI projects. Experience in productionizing machine learning in the industry setting
• Strong grasp of statistical machine learning, linear algebra, deep learning, and computer vision
• 3+ years experience with one or more general-purpose programming languages including but not limited to: R, Python.
• Experience with PyTorch or TensorFlow or other ML Frameworks.
• Experience in using Cloud services such as AWS, GCP, Azure. Understand the principles of developing cloud-native application development

• Design and implement ML components, systems and tools to automate and enable our various AI industry solutions
• Apply research methodologies to identify the machine learning models to solve a business problem and deploy the model at scale.
• Own the ML pipeline from data collection, through the prototype development to production.
• Develop high-performance, scalable, and maintainable inference services that communicate with the rest of our tech stack

Job Description

Want to make every line of code count? Tired of being a small cog in a big machine? Like a fast-paced environment where stuff get DONE? Wanna grow with a fast-growing company (both career and compensation)? Like to wear different hats? Join ThinkDeeply in our mission to create and apply Enterprise-Grade AI for all types of applications.

Seeking an M.L. Engineer with high aptitude toward development. Will also consider coders with high aptitude in M.L. Years of experience is important but we are also looking for interest and aptitude. As part of the early engineering team, you will have a chance to make a measurable impact in future of Thinkdeeply as well as having a significant amount of responsibility.

Experience

10+ Years

Location

Bozeman/Hyderabad

Skills

Required Skills:

Bachelors/Masters or Phd in Computer Science or related industry experience

3+ years of Industry Experience in Deep Learning Frameworks in PyTorch or TensorFlow

7+ Years of industry experience in scripting languages such as Python, R.

7+ years in software development doing at least some level of Researching / POCs, Prototyping, Productizing, Process improvement, Large-data processing / performance computing

Familiar with non-neural network methods such as Bayesian, SVM, Adaboost, Random Forests etc

Some experience in setting up large scale training data pipelines.

Some experience in using Cloud services such as AWS, GCP, Azure

Desired Skills:

Experience in building deep learning models for Computer Vision and Natural Language Processing domains

Experience in productionizing/serving machine learning in industry setting

Understand the principles of developing cloud native applications

Responsibilities

Collect, Organize and Process data pipelines for developing ML models

Research and develop novel prototypes for customers

Train, implement and evaluate shippable machine learning models

Deploy and iterate improvements of ML Models through feedback