AI/ML Engineer

• To be able to handle clients on their own. Responding to client inquiries in a timely and professional manner.
• Regularly interacting with team through telephone calls, email communications, or virtual meetings.
• Proficiency in Microsoft Office and Virtual Platforms like Zoom / MS Teams / Google Meet. Effective communication skills.
• Excellent organizational and time management skills.
• Strong analytical and problem-solving skills.
• Should be a team player.
• Travel out of station will be required as per demands of the projec

Responsibility:

• Lead the planning and execution of the product roadmap, aligning with the overall business objectives
• Define and prioritize product features based on customer feedback, data analysis, marketing demands and
• domain requirements.
• Drive the product development process, from ideation through release, ensuring timely delivery and high-
• quality outcomes
• Collaborate closely with engineering, marketing, and sales, to drive successful launch, development, and
• advancement of B2B products
• Establish and maintain strong relationships with key stakeholders, including customers, to gather insights
• and ensure product satisfaction
• Provide clear and concise communication of product vision, goals, and progress to both internal teams and
• external stakeholders
• Conduct market research to identify trends, customer needs, and competitive landscape, informing product
• strategy and decision-making
• Monitor product performance through metrics, iterating on the product strategy as needed to achieve
• business objectives
• Mentor junior product managers in terms of general learning and product/feature-specific guidance
• Be responsible for feature validation, both in terms of quality and user satisfaction.
• Requirements:
• 5-8 years of relevant experience in software product management
• At least 3 years of complex B2B software product management experience
• Analytical mindset with a willingness to go deep into problem-solving
• Being data-driven is essential; inclined to use data to validate assumptions and business assertions
• Strong technical understanding of the software development process and general design constructs
• Impeccable collaboration and communication skills
• Bias for action: Default setting is to take action to move the product forward and improve customer
• experience
• Empathetic: Can deeply embed in the customer perspective and translate their needs to crisp, detailed and
• actionable product requirements
• Thrives in a complex, ambiguous, and fast-paced environment, driving agile experimentation
• Understanding of the US healthcare industry is a big plus
• Prior start-up experience is a plus 

 Hiring: Java Developer (Spring Boot, AWS, Microservices) 🚀

📍 Location: [Specify Location] | 💼 Experience: [4+] Years | 🏢 Full-time

We’re looking for a Java Developer to build scalable, cloud-based applications using Spring Boot, Microservices, and AWS. If you love coding, designing robust APIs, and working with cutting-edge tech, join us!

🔹 Must-Have: Java, Spring Boot, Microservices, AWS

🔹 Good-to-Have: Docker, Kubernetes, CI/CD

Hey there, creative whiz! 

We're on the lookout for a talented Junior Graphic Designer to add some visual magic to our team.

Here is what you will be doing 👇

• Will be responsible to design creatives for upcoming app events, collaterals, offline marketing, social media layouts
• Must be able to create a meaningful design keeping consistency across all designs as per brand guidelines.
• Would need to design creatives that denote functionality
• Be regularly updated on the latest design trends and share inputs on improving design tonality/ language for the brand
• Must assure timely delivery of all campaigns.
• Illustrating concepts by designing examples of art arrangement, size, type size, and style and submitting them for approval.
• Coordinating with art services, web designers, marketing, printers, and colleagues as necessary.
• Contributing to team efforts by accomplishing tasks as needed.
• Creating a wide range of graphics and layouts for product illustrations, company logos, and websites with software such as Photoshop, Illustrator, and After effects.
• Review final layouts and suggest improvements when necessary.
• Someone who understands Brand Identity, Branding
• Bonus Points if has an understanding of animation on Aftereffects / Can make small basic videos and GIFs

Qualifications

• Bachelor’s degree in graphic design or a related field.
• Minimum 1 year of experience as a graphic designer or in a related field.
• Demonstrable graphic design skills with a strong portfolio.
• Proficiency with required desktop publishing tools, including Photoshop, InDesign and Illustrator.
• A strong eye for visual composition.
• Effective time management skills and the ability to meet deadlines.
• Able to give and receive constructive criticism.
• Understanding of marketing, production, website design, corporate identity, product packaging, advertisements, and multimedia design.
• Experience with Adobe Photoshop, Illustrator, After-effects, and other relevant software.

We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.

Machine Learning Engineer Responsibilities:

Consulting with managers to determine and refine machine learning objectives.

Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.

Transforming data science prototypes and applying appropriate ML algorithms and tools.

Ensuring that algorithms generate accurate user recommendations.

Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.

Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.

Developing ML algorithms to analyze huge volumes of historical data to make predictions.

Running tests, performing statistical analysis, and interpreting test results.

Documenting machine learning processes.

Keeping abreast of developments in machine learning.

Machine Learning Engineer Requirements:

Bachelor's degree in computer science, data science, mathematics, or a related field.

Master’s degree in computational linguistics, data analytics, or similar will be advantageous.

At least two years' experience as a machine learning engineer.

Advanced proficiency with Python, Java, and R code writing.

Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.

In-depth knowledge of mathematics, statistics, and algorithms.

Superb analytical and problem-solving abilities.

Great communication and collaboration skills.

Excellent time management and organizational abilities.

2+ years of experience developing web applications using J2EE.

2+ years of experience in Spring Boot.

Good knowledge of MicroServices.

Expertise developing enterprise-level web applications and RESTful APIs using MicroServices, with demonstrable production-scale experience.

Working experience in Industry Standard protocols related API Security including OAuth is a must.

Demonstrate strong design and programming skills using JSON, Web Services, XML, XSLT, PL/SQL in Unix and Windows environments.

Strong Shell scripting experience

Passion to stay on top of the latest happenings in the tech world and an attitude to discuss and bring those into play.

Strong collaboration and communication skills within distributed project teams

Excellent written and verbal communication skills

• Manage sales operations in assigned district to achieve revenue goals.
• Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
• Identify skill gaps and conduct trainings to sales team.
• Work with team to implement new sales techniques to obtain profits.
• Assist in employee recruitment, promotion, retention and termination activities.
• Conduct employee performance evaluation and provide feedback for improvements.
• Contact potential customers and identify new business opportunities.
• Stay abreast with customer needs, market trends and competitors.
• Maintain clear and complete sales reports for management review.
• Build strong relationships with customers for business growth.
• Analyze sales performances and recommend improvements.
• Ensure that sales team follows company policies and procedures at all times.
• Develop promotional programs to increase sales and revenue.
• Plan and coordinate sales activities for assigned projects.
• Provide outstanding services and ensure customer satisfaction.